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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
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design nanotech devices that can be used even by non professional people for fast diagnostic at home or doctor's office, control of food quality, safety and security applications where either an emergency
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design nanotech devices that can be used even by non professional people for fast diagnostic at home or doctor's office, control of food quality, safety and security applications where either an emergency
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, sports, food safety, and environmental monitoring. By integrating electrochemical techniques and imaging technologies, the unit delivers cutting-edge solutions with real-world impact. Led by Prof. María
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for Research Careers): First Stage Researcher (R1) Summary of conditions: The candidates pre-selected for this programme will need to apply for competitive fellowships in order to secure the funding required
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Researcher (R1) Summary of conditions: The candidates pre-selected for this programme will need to apply for competitive fellowships in order to secure the funding required to formalise their contract